{"id":"W6942276973","doi":"10.1371/journal.pone.0239609.t006","title":"Prediction accuracies of four genomic selection models at 50% missing level of SNPs information for agro-morphological and nutritive value traits of crested wheatgrass evaluated at Saskatoon and Swift Current, Canada.","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Missing data; Single-nucleotide polymorphism; Value (mathematics); Genomic selection; Quantitative trait locus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007149667,0.0002544692,0.0004586263,0.0001574163,0.000188594,0.00003177023,0.0001359841,0.0002484804,0.001119165],"category_scores_gemma":[0.0003071936,0.0002508493,0.00005420028,0.00004658225,0.00008573519,0.0003408654,0.0001716858,0.0002279465,0.000002779653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384641,"about_ca_system_score_gemma":0.0001375092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706012,"about_ca_topic_score_gemma":0.02774567,"domain_scores_codex":[0.9986802,0.0000556979,0.0005658586,0.0002572036,0.0002542782,0.0001867834],"domain_scores_gemma":[0.9986676,0.0001740158,0.0008430146,0.0001155865,0.0001438087,0.00005597858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001390132,0.00002355209,0.00001479828,0.002055396,0.00007248981,8.045824e-7,0.0007027044,0.0002532116,0.0004907358,0.00001817401,0.9957223,0.0005068459],"study_design_scores_gemma":[0.001167126,0.0004360081,0.004980712,0.002292677,0.0002428203,0.00003009515,0.0005093365,0.008432122,0.00111259,0.0000767736,0.9803919,0.0003278576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01318264,0.0007133356,0.000008967389,0.00003044638,0.00005400681,0.0007713977,0.9851919,0.00002925386,0.0000180984],"genre_scores_gemma":[0.04879988,0.00006964232,0.00003687161,0.00002118991,0.00005540283,0.0001004002,0.9508831,0.00001351474,0.00002003845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03561724,"threshold_uncertainty_score":0.9999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.221508484841203,"score_gpt":0.2648177459402176,"score_spread":0.04330926109901462,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}